Abstract
Gasification experiments of several types of biomass were conducted in an atmospheric steam fluidized bed gasifier, which biomass samples were fed into continuously and without residue discharge. In order to obtain the gasification profiles for each type of biomass, an artificial neural network model has been developed to simulate the gasification process. Model-predicted gas production rates for the biomass gasification processes are in good agreement with the experimental data, thereby the gasification profiles given by the neural network model are considered to properly reflect the real gasification process of a biomass. Gasification profiles identified by neural network model suggest that gasification behavior of arboreal types of biomass is significantly different from that of herbaceous ones.
| Original language | English |
|---|---|
| Pages (from-to) | 77-83 |
| Number of pages | 7 |
| Journal | Taiyangneng Xuebao/Acta Energiae Solaris Sinica |
| Volume | 22 |
| Issue number | 1 |
| Publication status | Published - Jan 2001 |
| Externally published | Yes |
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Keywords
- Biomass
- Fluidized bed
- Gasification
- Neural network
- Simulation
ASJC Scopus subject areas
- Space and Planetary Science
- Energy Engineering and Power Technology
- Computational Mechanics
Cite this
Simulation of biomass gasification with a hybrid neural network model. / Guo, Bing; Tang, S. T.; Lu, Z. A.; Li, D. K.; Shen, Y. T.
In: Taiyangneng Xuebao/Acta Energiae Solaris Sinica, Vol. 22, No. 1, 01.2001, p. 77-83.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Simulation of biomass gasification with a hybrid neural network model
AU - Guo, Bing
AU - Tang, S. T.
AU - Lu, Z. A.
AU - Li, D. K.
AU - Shen, Y. T.
PY - 2001/1
Y1 - 2001/1
N2 - Gasification experiments of several types of biomass were conducted in an atmospheric steam fluidized bed gasifier, which biomass samples were fed into continuously and without residue discharge. In order to obtain the gasification profiles for each type of biomass, an artificial neural network model has been developed to simulate the gasification process. Model-predicted gas production rates for the biomass gasification processes are in good agreement with the experimental data, thereby the gasification profiles given by the neural network model are considered to properly reflect the real gasification process of a biomass. Gasification profiles identified by neural network model suggest that gasification behavior of arboreal types of biomass is significantly different from that of herbaceous ones.
AB - Gasification experiments of several types of biomass were conducted in an atmospheric steam fluidized bed gasifier, which biomass samples were fed into continuously and without residue discharge. In order to obtain the gasification profiles for each type of biomass, an artificial neural network model has been developed to simulate the gasification process. Model-predicted gas production rates for the biomass gasification processes are in good agreement with the experimental data, thereby the gasification profiles given by the neural network model are considered to properly reflect the real gasification process of a biomass. Gasification profiles identified by neural network model suggest that gasification behavior of arboreal types of biomass is significantly different from that of herbaceous ones.
KW - Biomass
KW - Fluidized bed
KW - Gasification
KW - Neural network
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=0034808648&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0034808648&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0034808648
VL - 22
SP - 77
EP - 83
JO - Taiyangneng Xuebao/Acta Energiae Solaris Sinica
JF - Taiyangneng Xuebao/Acta Energiae Solaris Sinica
SN - 0254-0096
IS - 1
ER -